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Autor/inn/enShi, Guimin; Yang, Sheng; Liu, Changyong; Meng, Shimin; Luo, Zhiming; Li, Shaozi
TitelAn HCI-Based Cognitive Architecture for Learning Process Observation
QuelleIn: International Journal of Distance Education Technologies, 18 (2020) 1, S.1-18, Artikel 1 (18 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1539-3100
DOI10.4018/IJDET.2020010101
SchlagwörterLearning Processes; Observation; Cognitive Structures; Interaction; Man Machine Systems; Performance Factors; Elementary School Students; Mathematics Achievement; Reading Achievement; Writing Achievement; High School Students; Foreign Countries; Computer Assisted Instruction; China
AbstractIn this article, a cognitive framework for observing learning activities based on human-computer coupling is proposed. The observation is based on the vectorization of a learning situation along with human-computer interaction factors. An evolutionary high-dimensional topology of learning cognitive flow is introduced for human-computer interaction. In addition, the authors have selected a tree topology as the topological structure of a low-dimensional learning space to process the observations for online learning. Furthermore, the mechanism for the BSM (brain cognitive body-situation of coupling-manifold of information) the coupling morphism is presented. The principle for the coupled observation of objects in a cognitive or learning manifold is proposed. Finally, a special system for teaching and learning is programmed to observe and evaluate learning and mental arithmetic training processes. This system not only provides students with a new ergonomic learning model but also records the students' learning processes. Thus, the teachers can summarize the knowledge points automatically rather than manually. (As Provided).
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Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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